Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.
Our generative models learn the blueprint of life by modeling large-scale evolutionary data, enabling us to engineer and write biology in unprecedented ways.
What you'd do
- Design and implement computational approaches to advance cutting-edge research in bioinformatics and machine learning
- Analyze large-scale genomic and protein datasets to uncover new biological insights and capabilities
- Collaborate closely with scientists and engineers across machine learning, protein engineering, and biology teams
- Document and present research findings internally, with the potential to publish in leading journals and conferences
- Typical duration: 12 weeks, with flexible start dates
- Hybrid: 2–3 days on-site per week in our Emeryville, CA headquarters
- Opportunity to publish your work and make a lasting impact in computational biology and AI-driven protein design
What they want
- Enrolled in a BS, MS, or PhD program in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field
- Strong programming skills in Python and familiarity with scientific computing libraries (e.g., NumPy, pandas, Jupyter)
- Experience in one or more of the following: machine learning, large-scale data analysis, genomics, or protein bioinformatics
- Excellent problem-solving skills, scientific curiosity, and ability to work both independently and collaboratively
What you get
- Work on moonshot projects at the frontier of AI and biology
- Mentorship from leading experts in bioinformatics, machine learning, and synthetic biology
- A dynamic, mission-driven environment with the resources of a fast-growing, well-funded startup
- Competitive internship compensation